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Minor breaking change
theme_gtsummary_prop_n() and
theme_gtsummary_unweighted_n() have been updated following
version 2.5.0 of gtsummary (#44)plot_proportions() has been reorganized (some column
names have changed when calling return_data = TRUE)New features
plot_categorical() to plot a categorical
variable by sub-groups using bar plots (#47)plot_continuous() to plot a continuous
variable by sub-groups using bar boxplots (#47)plot_means() to compare means by
sub-groupsmean_sd() to compute means, standard
deviation and confidence intervals by sub-groupmedian_iqr() to compute medians, quartiles
and interquartile ranges by sub-groupsvyoneway() to test for equal means for
survey design objectsvyttest_oneway() test for
gtsummary::add_p.tbl_svysummary using
survey::svyttest() for comparing 2 means and
svyoneway() for comparing 3 means or moresafe_pal() and corresponding scales
scale_fill_safe() and scale_colour_safe() for
ggplot2 (#49)minimal for
plot_proportions() (#51)drop_ba_by for
plot_multiple_answers() and
plot_multiple_answers_dodge()Fix
proportions() when
.na.rm = TRUE (#46)New features
gtsummary:
theme_gtsummary_prop_n(),
theme_gtsummary_unweighted_n(),
theme_gtsummary_fisher_simulate_p() and
theme_gtsummary_bold_labels() (#42)fisher.simulate.p(), an implementation of the Fisher
test, with computation of p-values by Monte Carlo simulation in larger
than 2×2 tables, to be used in gtsummary::add_p()
(#41)New features
plot_trajectories() and
plot_periods() to plot individual trajectories (similar to
sequence index plots) (#35)view_dictionary() and
view_detailed_dictionary() to display the variable
dictionary of a data frame, a tibble or a survey object (#33)view_dictionary() and
view_detailed_dictionary() are also accessible through
dedicated addins (#33)to_DT() to convert the result of
labelled::look_for() into a DT::datatable()
(#33)gtsummary:
bold_variable_group_headers(),
italicize_variable_group_headers(),
indent_labels() and indent_levels() (#34)New feature
plot_multiple_answers_dodge() (#31)Fix
plot_multiple_answers() with NA
values when drop_na = FALSE (#31)New features
plot_multiple_answers() to plot a multiple
answers question coded as several binary variables (#29)combine_answers() for multiple answers
questions (#29)New feature
dependencies for
install_dependencies() (#27)New features
grouped_tbl_pivot_wider(),
multinom_add_global_p_pivot_wider() and
style_grouped_tbl()) for grouped tables generated by
gtsummary::tbl_regression() for multinomial models,
multi-components models or other grouped models (#3)dummy_proportions() helper for
plot_proportions() (#21)free_scale for
plot_proportions() (#22)install_dependencies() now checks if dependencies are
on CRAN/BIOC, installs those available and returns the list of packages
not installed/updated.New features
plot_proportions() now accepts several conditions
(#18)stratified_by() helper for
plot_proportions() (#19)cut_quartiles() (#13)convert_continuous for
plot_proportions() (#14).drop_by_na for proportion()
(#12)drop_by_na for
plot_proportions() (#16)Bug fixes
proportion() when .conf.int = TRUE
and some rows have no observation (N = 0) (#15)New features
proportion() could be applied to atomic vectors
(#4)periods_to_long() (#7)plot_proportions() (#9)These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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